An Energy Efficient ECG Signal Processor Detecting Cardiovascular Diseases on Smartphone
| Autor: | Basabi Bhaumik, Sanjeev Kumar Jain |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Biomedical Engineering Wearable computer 02 engineering and technology 01 natural sciences Electrocardiography Application-specific integrated circuit Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering medicine Humans cardiovascular diseases Electrical and Electronic Engineering Block (data storage) medicine.diagnostic_test Bundle branch block business.industry 020208 electrical & electronic engineering 010401 analytical chemistry Signal Processing Computer-Assisted medicine.disease 0104 chemical sciences CMOS Cardiovascular Diseases Embedded system Smartphone Ecg signal business Efficient energy use |
| Zdroj: | IEEE Transactions on Biomedical Circuits and Systems. 11:314-323 |
| ISSN: | 1940-9990 1932-4545 |
| Popis: | A novel disease diagnostic algorithm for ECG signal processing based on forward search is implemented in Application Specific Integrated Circuit (ASIC) for cardiovascular disease diagnosis on smartphone. An ASIC is fabricated using 130-nm CMOS low leakage process technology. The area of our PQRST ASIC is 1.21 mm2. The energy dissipation of PQRST ASIC is 96 pJ with a supply voltage of 0.9 V. The outputs from the ASIC are fed to an Android application that generates diagnostic report and can be sent to a cardiologist via email. The ASIC and Android application are verified for the detection of bundle branch block, hypertrophy, arrhythmia and myocardial infarction using Physionet PTB diagnostic ECG database. The failed detection rate is 0.69%, 0.69%, 0.34% and 1.72% for bundle branch block, hypertrophy, arrhythmia and myocardial infarction respectively. The AV block is detected in all the three patients in the Physionet St. Petersburg arrhythmia database. Our proposed ASIC together with our Android application is the most suitable for an energy efficient wearable cardiovascular disease detection system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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